Creating conservation landscapes that effectively safeguard biodiversity. The current extinction crisis creates an imperative to protect remaining habitat wherever it occurs. This project aims to reveal how to improve protection for biodiversity outside of designated Protected Areas by advancing the concept of Conserved Areas, where conservation can be a product of other goals. This project is expected to generate novel insights into how to recognise Conserved Areas, reveal the risks and benefit ....Creating conservation landscapes that effectively safeguard biodiversity. The current extinction crisis creates an imperative to protect remaining habitat wherever it occurs. This project aims to reveal how to improve protection for biodiversity outside of designated Protected Areas by advancing the concept of Conserved Areas, where conservation can be a product of other goals. This project is expected to generate novel insights into how to recognise Conserved Areas, reveal the risks and benefits associated with different type of protection and develop vital tools to ensure these areas effectively conserve biodiversity. Benefits will include a blueprint to meet global environmental commitments using well-designed systems of Protected and Conserved Areas as part of integrated conservation landscapes.Read moreRead less
Geometry of wall-turbulence and its potential to advance scalable models. This project aims to unravel the connections between the statistical geometry of wall-turbulence and the dynamical interactions of its instantaneous motions. Predicting the complex behaviour of turbulent fluid flow over surfaces in relative motion is central to atmospheric modelling for climate and agriculture, and reducing the environmental effect of fossil fuel usage. Wall-turbulence statistics organise according to a pr ....Geometry of wall-turbulence and its potential to advance scalable models. This project aims to unravel the connections between the statistical geometry of wall-turbulence and the dynamical interactions of its instantaneous motions. Predicting the complex behaviour of turbulent fluid flow over surfaces in relative motion is central to atmospheric modelling for climate and agriculture, and reducing the environmental effect of fossil fuel usage. Wall-turbulence statistics organise according to a predictable geometric structure, and the notorious complexity of turbulent wall-flow dynamics could be clarified through its inherent geometry. This project expects to construct a basis for predicting engineering and atmospheric wall-flows, which would enhance atmospheric flow prediction, reduce energy consumption and further environmental sustainability.Read moreRead less
Self-similar scale interactions in turbulent boundary layers. Predicting and controlling turbulent fluid flow next to a solid surface (the turbulent boundary layer) is of critical importance to ensuring a sustainable energy and environmental future. While recent research has yielded a clearer physical understanding of these flows, converting this understanding into tools useful to engineering practice remains a central obstacle. The proposed research directly addresses this fundamental challenge ....Self-similar scale interactions in turbulent boundary layers. Predicting and controlling turbulent fluid flow next to a solid surface (the turbulent boundary layer) is of critical importance to ensuring a sustainable energy and environmental future. While recent research has yielded a clearer physical understanding of these flows, converting this understanding into tools useful to engineering practice remains a central obstacle. The proposed research directly addresses this fundamental challenge by precisely connecting the eddy interactions of the turbulence to the mathematical equations that rigorously describe these flows. As such it holds breakthrough potential toward the development of turbulent boundary layer prediction and control schemes that do not rely on ad hoc models or assumptions.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100968
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Lifting the Veil on Turbulent Convective Heat Transfer over Rough Surfaces. By understanding the influence of surface roughness on convective heat transfer, this project intends to reduce the unwanted heating and energy losses associated with surface roughness in gas and steam turbines used in power generation and transportation. The surface roughness that results from extended operation of gas and steam turbines can significantly increase the heating of their surfaces, increasing fuel consumpti ....Lifting the Veil on Turbulent Convective Heat Transfer over Rough Surfaces. By understanding the influence of surface roughness on convective heat transfer, this project intends to reduce the unwanted heating and energy losses associated with surface roughness in gas and steam turbines used in power generation and transportation. The surface roughness that results from extended operation of gas and steam turbines can significantly increase the heating of their surfaces, increasing fuel consumption and greenhouse gas emissions, and reducing operational life. Improvements would allow turbines to operate at higher inlet temperatures which will increase their efficiency and reduce fuel use, environmental emissions and maintenance costs.Read moreRead less
Dealing with an indigenous despot - the Noisy Miner, a keystone species in the rural landscape of eastern Australia. This study will identify sustainable means of limiting the domination of remnant native and planted woodland by the hyper-aggressive Noisy Miner. This species excludes insectivorous birds from remnant woodlands, contributing to the decline of birds in eucalypt woodlands in rural southern Australia. Halting the decline in insectivorous birds in our agricultural areas is critical if ....Dealing with an indigenous despot - the Noisy Miner, a keystone species in the rural landscape of eastern Australia. This study will identify sustainable means of limiting the domination of remnant native and planted woodland by the hyper-aggressive Noisy Miner. This species excludes insectivorous birds from remnant woodlands, contributing to the decline of birds in eucalypt woodlands in rural southern Australia. Halting the decline in insectivorous birds in our agricultural areas is critical if we are to ever achieve truly sustainable agricultural production. This study will identify habitat characteristics that can be manipulated by land holders to make remnants and plantations less suitable for Noisy Miners, while enhancing the re-establishment of other threatened birds.Read moreRead less
Synthesising prior information for ecological research and management. While using existing information to design studies and compare results, ecologists rarely use existing information in their analyses. We will combine the results of previous ecological studies to summarise the existing information. We will test how well the traits of plants and animals can be predicted from previous research, and the benefit of this existing information for environmental management. By taking advantage of the ....Synthesising prior information for ecological research and management. While using existing information to design studies and compare results, ecologists rarely use existing information in their analyses. We will combine the results of previous ecological studies to summarise the existing information. We will test how well the traits of plants and animals can be predicted from previous research, and the benefit of this existing information for environmental management. By taking advantage of the wealth of previous ecological research, our project can save time and money for ecological research by scientists and environmental management by federal and state agencies. This will fundamentally change the way that ecology is conducted.Read moreRead less
Growing a multi-scale internal structure: new wrought metals for energy conservation. This research aims to reduce the weight of wrought metal parts so that transport and machinery will use less energy. It will establish how to grow novel multi-scale internal structures and will thereby pioneer a new class of metals that display superior properties.
Predicting co-extinction risk of invertebrates on endangered plants. Co-extinction occurs when a dependent species goes extinct with the loss of its host species. A recent overseas modelling study suggested losses to global biodiversity through this mechanism may be high, but only when a large number of hosts are extinguished. However, estimates were constrained because there are no datasets with insects sampled from endangered plants. Thus, the accuracy of the estimates remains unknown, particu ....Predicting co-extinction risk of invertebrates on endangered plants. Co-extinction occurs when a dependent species goes extinct with the loss of its host species. A recent overseas modelling study suggested losses to global biodiversity through this mechanism may be high, but only when a large number of hosts are extinguished. However, estimates were constrained because there are no datasets with insects sampled from endangered plants. Thus, the accuracy of the estimates remains unknown, particularly for Australian insects. This project will provide the most accurate estimate to date by sampling endangered plants and identify management strategies for sustaining viable populations of endangered insects, thereby conserving Australia's biodiversity.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100203
Funder
Australian Research Council
Funding Amount
$956,700.00
Summary
Novel diagnostics capabilities in reacting, particle-laden flows. This project aims to establish innovative capabilities for advanced diagnostics techniques to be applied in reacting, particle-laden flows over a range of pressures. The complementary measurements are expected to provide an unprecedented understanding of the dynamics of liquid fragments and solid particles in flames. The resulting data, and improved knowledge, will set the framework for more effective predictive methods that assis ....Novel diagnostics capabilities in reacting, particle-laden flows. This project aims to establish innovative capabilities for advanced diagnostics techniques to be applied in reacting, particle-laden flows over a range of pressures. The complementary measurements are expected to provide an unprecedented understanding of the dynamics of liquid fragments and solid particles in flames. The resulting data, and improved knowledge, will set the framework for more effective predictive methods that assist in the design of cleaner and efficient processes that benefit a range of applications, from engine design to the generation of new fuels, and the flame synthesis of novel materials.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100416
Funder
Australian Research Council
Funding Amount
$365,446.00
Summary
A predictive tool for low-emission gas turbine combustors. This project aims to develop a powerful tool for prediction of combustion noise using high-fidelity simulations. Combustion-generated sound is a major inhibitor to the development of low-emission, highly-efficient gas turbines as it can initiate "thermoacoustic instability", leading to engine failure in extreme cases. This project will lead to the advancement of fast start-up, low-emission, gas turbines which can complement renewable en ....A predictive tool for low-emission gas turbine combustors. This project aims to develop a powerful tool for prediction of combustion noise using high-fidelity simulations. Combustion-generated sound is a major inhibitor to the development of low-emission, highly-efficient gas turbines as it can initiate "thermoacoustic instability", leading to engine failure in extreme cases. This project will lead to the advancement of fast start-up, low-emission, gas turbines which can complement renewable energy technologies to provide reliable electricity to Australians.Read moreRead less